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        <li><a href="index.html">Main</a></li>
        <li><a href="objective.html">Objective</a> </li>
        <li><a href="achievements.html" class="current">Achievements</a></li>
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      		236371 - Project in Parallel/Distributed Programming  <br />
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      <h1>UI</h1>
      <ul>
        <li> Supports adding / deleting and changing user-defined rules.</li>
        <li>Supports closing / starting the Bluetooth manager.</li>
        <li>Supports Resetting the Data base</li>
      </ul>
<h1>Learning Algorithm</h1>
      <p>The learning algorithm is a variant of a popular algorithm which is widely used in Branch predictors (as can be seen in this <a href="http://en.wikipedia.org/wiki/Branch_predictor#Saturating_counter">link</a> from wikipedia).</p>
      <ul>
        <li>A week is divided into 10 minutes slots</li>
        <li> For each slot we hold the following state machine:</li>
     </ul>
     <p><img src="images/state_machine.jpg" alt="State Machine" width="497" height="125" /></p>
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        <li>Each sample changes the state accordingly.</li>
        <li> Decision is made according to the state of all slots in the current time slot area.<br />
          we always Prefer the &quot;ON&quot; state.<br />
        </li>
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<h1>Making a decision</h1>
<p>Decision on how to operate the bluetooth device is done according to several factors, as illustrated below. (A full description is provided in the developers guide and the presentation's slides, both available in the download section).</p>
<p><img src="images/factors.png" width="617" height="460" alt="factors" /></p>
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